{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 14.1 Installing matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 14.2 Line Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Company Name</th>\n",
       "      <th>Location</th>\n",
       "      <th>Cost</th>\n",
       "      <th>Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2/5/19</td>\n",
       "      <td>Arianespace</td>\n",
       "      <td>France</td>\n",
       "      <td>200.00</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2/22/19</td>\n",
       "      <td>SpaceX</td>\n",
       "      <td>USA</td>\n",
       "      <td>50.00</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/2/19</td>\n",
       "      <td>SpaceX</td>\n",
       "      <td>USA</td>\n",
       "      <td>50.00</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/9/19</td>\n",
       "      <td>CASC</td>\n",
       "      <td>China</td>\n",
       "      <td>29.15</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3/22/19</td>\n",
       "      <td>Arianespace</td>\n",
       "      <td>France</td>\n",
       "      <td>37.00</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Date Company Name Location    Cost   Status\n",
       "0   2/5/19  Arianespace   France  200.00  Success\n",
       "1  2/22/19       SpaceX      USA   50.00  Success\n",
       "2   3/2/19       SpaceX      USA   50.00  Success\n",
       "3   3/9/19         CASC    China   29.15  Success\n",
       "4  3/22/19  Arianespace   France   37.00  Success"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(\"space_missions.csv\").head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Company Name</th>\n",
       "      <th>Location</th>\n",
       "      <th>Cost</th>\n",
       "      <th>Status</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-02-05</th>\n",
       "      <td>Arianespace</td>\n",
       "      <td>France</td>\n",
       "      <td>200.00</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-02-22</th>\n",
       "      <td>SpaceX</td>\n",
       "      <td>USA</td>\n",
       "      <td>50.00</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-03-02</th>\n",
       "      <td>SpaceX</td>\n",
       "      <td>USA</td>\n",
       "      <td>50.00</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-03-09</th>\n",
       "      <td>CASC</td>\n",
       "      <td>China</td>\n",
       "      <td>29.15</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-03-22</th>\n",
       "      <td>Arianespace</td>\n",
       "      <td>France</td>\n",
       "      <td>37.00</td>\n",
       "      <td>Success</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Company Name Location    Cost   Status\n",
       "Date                                             \n",
       "2019-02-05  Arianespace   France  200.00  Success\n",
       "2019-02-22       SpaceX      USA   50.00  Success\n",
       "2019-03-02       SpaceX      USA   50.00  Success\n",
       "2019-03-09         CASC    China   29.15  Success\n",
       "2019-03-22  Arianespace   France   37.00  Success"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "space = pd.read_csv(\n",
    "    \"space_missions.csv\",\n",
    "    parse_dates = [\"Date\"],\n",
    "    index_col = \"Date\"\n",
    ")\n",
    "\n",
    "space.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2019-02-05    200.00\n",
       "2019-02-22     50.00\n",
       "2019-03-02     50.00\n",
       "2019-03-09     29.15\n",
       "2019-03-22     37.00\n",
       "Name: Cost, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "space[\"Cost\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "space[\"Cost\"].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "space.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Small</th>\n",
       "      <th>Large</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2000</td>\n",
       "      <td>3000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5000</td>\n",
       "      <td>5000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Small    Large\n",
       "0   2000  3000000\n",
       "1   5000  5000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = [\n",
    "    [2000, 3000000],\n",
    "    [5000, 5000000]\n",
    "]\n",
    "\n",
    "df = pd.DataFrame(data = data, columns = [\"Small\", \"Large\"])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rJtaPoR7dGdINmVyReDRMJBxsnvtiZ+7Odr8QpObeBlnGJ+PVnYSWZSoR5D6pJxXyduAeYKsQYkwI8VbgI0KIR4QQu4HrgD8AkFI+BnwV2AN8H/g9KWVgZ/BgMqoDqg5IKUlbAdVQoDnR6RrMfDExdwAhghyzV3rcbe0HlD1Ts5kOW9JdeGTsLM94/w85dHI2kO1Faq0gpXyDy+J/qbL+B4APtGJUsxhMxjh6Zr4Tm+5a5AoSKY2YRFgEO2avVkB1oadCOtv9CoKTZezoNuauZKJ0rshcNk9PrKabWRI4emYeKQ32vnFFb9u3t2gqVMHU3BfB6DY/kckbDlQxdx1Q9Q8p07mXmLvoSEDVv2wZ/1Mqp3Suu4Wgycyicu5DPTqg6oSqEjVa/nZZQHWBO/fp+VK2DEBIdIa5+yXL+JctU3p8WpMtC9q5t4ChZJTZbKFmT5OlBHVAxSNho/1AQM49Fg7VZu4LXnPPIQT0mbKDQATY8re0pSCltnpgv9jodMgSgiYzi8q5D+pCpgpYzD2qmHswF75ENLToUyGn03n64hFCITPJPUDmXp7n3mVFTDZ7TmlZxoJ27i1ANw+rRCanZJlwoBWqiWi4rgrVhdxmVvVyVxB0Zsxe97UfKD3W6ZAl1Dof/MYide76gFJIq4BqNNj2A8lYuCZTKcraPd+7GdPz5b3cRaDM3Zbn3mWNwwpalnGF1txbgOoMqZl7CYq5J1T7gYC8TzIarutgTmcXrnNPVTB3EVyeu+1xt7UfsMsyukq1hKBlyMXl3FVnSF2laiFjY+6hAJl7vE7nvpAzZqbTeQaSnWLupce+XbD9cu6aubtCM/cWMKidewWcqZBBZVYko6G6mMpCdu7GoI4Scw+J4LJlaMMkJr/iBYpADCajnNJVqhZ0QLUFDOiAagXsqZDhkEDKYMayJaJh0vliTZlibgEPNJ+ezzFg19xZ2AOyfZNlzM9Z0RfTAVUbNHNvAeGQoD8R0c7dBsXcE9EQYbNzYRC6ezIaplCU5GqM9VuoLQiKRclMJl/G3BEdypbpsoCqkmVG+uNalrFBZ8u0CF2lWo6SLBMmHDadewDMPRk1pivWLmRamAHV2WyeoqRcc2ehM3d/W/6u6IuTSufJLeCMKD+hZZkWMZSMcUaXPFvI5EoB1UgoOOceN517ZpG2ICh1hLRly4jgsmXs6LZJTMqeFX1xQGfMKOhsmRahB3aUwx5QVaPgggiq1s3cF6hztzpCljn3APu52wOqXVYIpswZ6Tecu5ZmDKiak6BQTz/3zwkhTgghHrUt+6gQ4nFzhuo3hBBD5vINQoh5IcTD5t9n2mi7KwZ7opzRzt1CJldACKPXS5DMPRE1Dq2abX8XaAuC0oi9xSTL+PIxlj0jJnPXQVUDQR/r9TD3zwMvcyz7IXCJlHIbsB/4Y9trB6SU282/d/hjZv0w2v5q566QyRvDsYUQhMPGz91NmvtCzZZRU5gqUyF1y197QBW0c1foOs1dSnkncMqx7L+llOqsvBdjVmpXYMiUZRZyzxI/kc4Zw7GBUrZMEM49Zjr3WtOYAs4g8AsWc+9U+4F2yDI+FzGt0My9DAsxW+YtwPdszzcKIX4phPiZEOIarzcJIW4WQuwUQuycnJz0wQwDQz1R8kXJ7AK93fcbajg2UJJlAvBAKqBaS2dc6Jp7WSpkkC1/y5i7T5/pz8dY9izrM9qBaM3dyETqOuZeDUKI9wF54IvmonHgHCnl5cAfAl8SQgy4vVdKeauUcoeUcsfIyEgrZpRBd4YshyHLGI5WtaYt1Mg99wNKlqmlMy7UPPeSLONk7h3IlumyYR2KuUfDgqEeXaUKpcSGING0cxdC3AT8KvAmaR7RUsqMlHLKfPwgcAA43w9D68Vg0mALOh3SQMYcjg0l5p4PoKd7sg7mHgmJBdvTPZXOE4uESJjfEzoXUO229gPKuYeEYFmvrlKFzpCYppy7EOJlwHuAV0kp52zLR4QQYfPxJmALcNAPQ+uFxdx1UBUwdL64KcuETeceROqckoKqFSklo7XbAncrnL3coXOae7dly6iLTVgIlgfk3ItFyUNPnW77dppFJ47zelIhbwfuAbYKIcaEEG8FPgX0Az90pDxeC+wWQuwCvga8Q0p5yvWD24QhPY2pDJl8gYQKqIa6K889EQsvWOY+nc6XBVNBjdlbyNky/kCpfkEy9x/uneC1n76bB490p4PvxHEeqbWClPINLov/xWPdrwNfb9WoVmB1htTOHTD6uTuZez4Azd0KqFZx7guauc/n6E+WM/cgB2S3pbeMz58TCsGy3lggDnf32BkA7jlwkmecO9z27TWKoDNlYBFWqGrmXo50vpQKGQlQljFy6+tw7guUuafcmHugLX9L6DZZRtmjmPvpuVzbO5HuOTYNwH2HAhUK6kZXyjILDclomFg4pHu6m8jkSqmQoQBlGag9jSlRxyi+boWb5g6dGbMXRAvnRqDMCYcEy3rjFIqy7WRr73gKgAePnCbfhY3KFkxAtZshhGAgGdVzVE3YUyGDbD8ARk/3as67p85pTd2IVLp8fioEmwrZrCxTLEr+5BuP8MREyn+j1DZMe4SA5b1G9tqpNmavTc1kOD6dZvv6IeayBR4zWXw3QTt3n6Db/pZgT4UMB+zcDdmlSrbMQmbu8zlrOIxCoI3DmkyFPDmb4Uv3PcV/75mo+pmtwJ4ts0w59zYGVRVr/81nbwDg/i6UZrQs4xMGk1Ety5hI54ol5x5g+wEw2gxXy3NPRsPMtai5f/eR8cB1+0y+QCZfpD/uki0TWBGTLRWygW2q4SkT02mXT/RpzJ4jzx1gaqZ9zn3P+FkArj1/hI0rertSd+9EbGlROvch3fbXQiZfsAptIgEO6wBTc69yUCdqvF4LT03N8btffIgf7a1koe1EqSNkdzD3RiTmnFkpeWK6smrU7zF7oVBwzH3NYIJlvTEuGR1kfxslp2aRXkgVqt2MwR7N3MHQf1VXSIBwKLiukGA692rMPRZq6XZ11uwomQ34xCkN6ihn7iEhOpIK2Uj2U9a8Ekyk3Ji7PygWpSUBKud+uo2a+55j01y0xuhy0hsLkwm4b3o96ERr68Xp3DVzB4xbcClLOefhAId1gBlQrXJQJ6Nh8kXZ9Bg25dSDHlah+spUVKjSGebeSN1Ctipz90+WMX07iWiY3li4bbJMOlfgyckZLjSdezwS6kgfl1rQmrtPGErGmMno2Y2KNXcqoGpky1QLqBrMt9kDX7HQoHt1eTF3gsyWsadCNqS5m849la4IxPo5IFtN/QIY7o21rXnYExMzFIqSi9Yazj0WCZHpwjbSOlvGJwya03Gmlzh7Vwe5xdwDd+6hqjNU6+0c6QX1/QJn7mrEnlNzp0MVqg38niqgmivICqnEz2wZu3Nf3htrW9vfveNG2uNFFnMPWxf9boJm7j5hqMfQ+Za6NJPxYO5BdIWE2u0FkmZxVbMZM9mC8b6gS3hS6cp2v6AqVDvQW6YJ5g4wUSHN+NUVsnSsAW3tL7NnfJreWJhzlvUAxrFeKMquK2TSzN0nDPbo/jJQ6mfhbPkbFNNNxqoXKVnTmpqVZTqmuXtkyxC8RASN5bnbg8/OoKqf7QdsxJ1lvXFOt8u5H5vmgjUDVvW16qPUbbq77i3jE3TbXwOKuSccskwQjcPUdqt2haxzzqoXMpZzb+rtTSOVziEE9MXcKlSDsaHZlr92yWLSwdz9Ml1KWcbcl/cZsozf8YhiUbJnvJQpA8YgeOg+567z3H3CkJ7GBJQO8E4GVNO5oudJ3bLmnlcB1aA19zx98YjFFhWCHJCNL7JMui37ruAMqPbEyOSLLResOTF2ep6ZTN4KpkIpvhR0emwtdKXmLoT4nBDihBDiUduyZUKIHwohnjD/D9te+2MhxJNCiH1CiJe2y/BqsNr+LvFpTFZA1dlbJiBnmKhxi9zTaraMYu4BU3evpmHQmYBqI9+/zLmn0mX2+lnE5Ayogv+FTHscwVQoEZluy3XvVs3988DLHMveC/xYSrkF+LH5HCHERcCNwMXmez6tJjMFidIc1XzQm+4qWKmQjq6QQRYxgfctaTJmTmtqWXNv6u1NY3q+smkYBNvytzygWv/7cnlj5YFEhInpTJm9vo3ZK5by3KFUyOR3xsye8WlCArau7reWKSLTbbJMOlcoi0MEgZrOXUp5J+Bs1nA9cJv5+Dbg1bblXzZnqR4CngSu8sfU+hEJh+iPRzizxDtDKuae6FBXyFpzVJXm3ny2TGcCqql0ZdMwUAHVoLpC2jX3+h1Zxtxno8M9nHDIMn4OyC7Llukzq1T9du7Hptk00lc2xzammHuX5brP5wrW+RAUmtXcV0kpxwHM/yvN5aPA07b1xsxlFRBC3CyE2CmE2Dk5OdmkGd4YSEZ1QNXB3DuhuUMV5l7HtKZqUCdw0BkqbiP2IOCAapNj9lRvmXXDyUrm7lu2jLss4zdz3+sIpkJJllFpst2CdK5YdhEKAn4HVN1uPFwPGSnlrVLKHVLKHSMjIz6bodv+gndANcj2A+Atu1ipkC3nuQfffsBNcw+0cZjtcUONwwol5z45kym7MPi1H6WUhGyeZdjS3P2rUj07l+PomfmyYCrYNHfN3Jt27hNCiDUA5v8T5vIxYL1tvXXAsebNax6DyeiSz3NX1aHOVMggK1TBO8dXyUULTXNPpXPumnuALX9bbT+wfriHQlFycqbkcH1j7lJafYwA+uMRomHhK3NXwdQLHczdkmW6TXPPFqzzISg0u7VvAjeZj28C/su2/EYhRFwIsRHYAtzfmonNQTN3F+YecD/3WrJLKCSIR5rvDNmJIqZiUZLK5F0191DHmHtjRUxCwNqhBODe171VFBztB4TZ1/2Uj83D3DJloIsDqrbW20Ghkn44IIS4HXg+sEIIMQb8GfAh4KtCiLcCTwGvB5BSPiaE+CqwB8gDvyel7Ij4pQd22J27o4gpKOdeh+ySjDXf072U597U25vCbDaPlC5NwwACbPmrvHtINNryVxINh1g1YDj342f9Z+5SUlEDsKw37mvb3z3HphnpjzPSHy9bXqpQ7R7NPVcokivIwGWZms5dSvkGj5de6LH+B4APtGKUHxhMxpiezyGlRASdg9QlUOlXUXNIhxCCcEgElheeqJEtA7X7z1RDJ/Lcp9WgDjfNneAzd8Ih0WDjsCKxcIiVyrnbmLtvk5gcqZDgf/Mwt2Aq2PPcu4e5qztXRXaCwqKsUAVDlskWigt2RqcfyOSLJCLhsotbWIjgmHuNbBm1TrOpkJlC8Jp7qWmYe0A1KChH3JRzj4QY6TMYr12W8TMVMuTYGcM+Ng/L5os8cSJVobdDd2ruaUcxYVBYtM69VKW6dKWZTK5g3aYqGM4gmANfbbvaiDGjRcHC0dxLTcPcAqrBp0JGQqGGA6rRsCAWCbG8N8bxs/5r7m7OfbmPmvuTJ2bIFWRFpgyUHGg3tR/QzN1ndKK/zNm5HK/61F3ce3AqsG1Wg33EnkIkJLjjoaO852u72779enrHJGPNyzKd6C1TnbkH3/I3HGrsTiyTLxIx8xRXDiTKmbtPtjlb/oJRpZrK5H1xul7BVOiO9gOPHTvLDf90j+XU1fGdXCDZMl2PTjD3vcen2T12lt+//ZdMzbRn8kwjSOcqI/ShkJGS9v3Hjrd9+/V0feyJVR/FVw3ZfPD93K1BHa6pkMH3lok0GEPJ5IoWg1w1EHfIMu3T3P2cpbp3fJpENMTGFb0Vr1ldITuY5/7QkdPcf+iUNcow7UhJDgqL17n3BM/c1YlyIpXhlq/tDrxboRNezB2CuW2NhkNEQqKq7FJrFF81dEKWKY3Yc0uFDHBAtrRp7g1sdDabp0c59/6EI6DqD4pSVmTLWFWqPkgze45Ns3X1QMXdARjkJRYOdXQaUypjHCNqKI4iLwuliKnrUZrGFFx/GXWl/j8vOZ//efwE//qLw4Ft2w2Gcy8/oNQJEdRta+1pTC1o7h0IqKrRje6pkMFVy6qtRMOhhipU57IFy7mvHIiXFZi1O6AKrXeGlLKyh7sT8Q7PUVUEQAW65zVz9xedkGUmptMko2F+77rzeNGFq/jQ9x7n0aNnA9u+E+lcoYK5K+delAQyiixu9nT3gpEt01z3znYx99lMnicmUq6vpdJ5YpGQ64lqpEL6aoon7Jp7I7LMfLZgtVpW6ZC2T/XFtmKRsgpVsPeXaU2uPHY2zdn5nGswVSEeDXVUc59JK+Zu7E8ty/iM3liYSEgEK8ukMqwaiCOE4KOv20YyFuZf7joU2PadyOQrmxXZb2WDSBdLxkI1R+01q7m3q4jp0z99ktd++m7X16r1cheCAAMAxoYiDcoyc9m8pbmPmN0arU/0sf1AyOFZLM29Rea+95h3MFUhFg51NBVyJlPO3BW50QFVnyCECLy/zMTZtMWGhntjrB1KWrdonUAm783cIRjdPRmt7rwTNZh9NbSriOmRo9OkMnnXOxuvjpBg9pbpQLZMI99/Llugx7zgJx1jAn3T3IuVssxQTwwhWpdl9oxPIwRcYOvh7kQ8Gu5oKqSXLKNTIX3EYMD9ZSZSaausG4zGWZ28Pczkiq557tbrAZwAiWi4aoVqTyxMtlBsSiJqV+OwfccNdugWlJuez9Hv0lcGgp6haqDRgKpdc084Lvzt6ucOhp3DPa1Xqe45Ns2G5b30xr2L6+ORDssyGcPnKFlGkRsty/iIoQB7ukspmZhOs3qg1OvCOMg6xyDS+UJFQDUSMHNP1GDupYEerTh3/zzqmbksE2Zg3G3/pKox9wAbhylEwo1VqM5nC/SYjtHpbHxLhZS4tvwY7on6wtyrSTLQ+fOuQpbJa+fuOwxZJphsmel0nnSuWMbc45Gw1Xa3E8jkihVtRu23y0Gwm2Q0XL1CtYWe7u04gfcdLwVS3T6/muZupEIGLMuI+mWZXKFItlC0ZJkK5+6bbZKwSyuG5b3xlph7Kp3jqVNzVYOpYLQg6GS2TCmgatigivicEmm7said+1BPLDBZ5oSZL7yyQpbp3EHmlgoZCQcty4SqV6jW0X/GDVLKtozZ22/LknFzEKl03rX1gGWXb5ZUh723TL0VqqqHj9J+nRd+/yYxVWruYARVWwmoPm5eeGsz93BH89ydzH0+Z/RyD7qBYdPOXQixVQjxsO1vWgjxLiHEnwshjtqWv8JPgxtBkG1/1a38qn67LBPusHN3C6iGbK8HFFCtkecOjQ/ssJ+8fjr3x23M3W1U2/R8zrWACQwpIuhUyEZ6y6gLqEqFbJdMUHRp+QvGLNVWZJk9x9wHdDjRac09VZEKWQy8gAnqaPnrBSnlPmA7gBAiDBwFvgH8FvA3UsqP+WFgKxhMRkml8xSKlQEev6Eq/cplmeppgO2ElJJ0rkjcmQpp2w1BnAC1GoMlY8bFpmHnnrc79+Zsc4OduTuzeDL5Apl8sUq2DIFFVK32Aw1o7qqeoDduHBPOC79fmT5Fl/YDYOS6n57LGq83cT7uOTbNst4YqwbiVdfrpCyTzRct0lQolJh7J5y7X7LMC4EDUsojPn2eLxgyWxBMByDNTLg490S0c8xdMdvK9gOl54EFVKsyd8NRNirL2PerXzq3lJLHj6dYvyxZsQ2o3noAAp6ham8/0Kgs46G5+2W8W7YMwHBPjKKk6fRkFUytJW/EI51rP6AkGcDKYpp36fEUBPxy7jcCt9uev1MIsVsI8TkhxLBP22gYVpVqAM79xHSagUSkLJfVKIPuDHN3jthTCL6IKVyVRan91egdThlz9+lrHJ9Ok0rn2TY6VLENKDl3L809yMZhCpFQ/VKQusgqWaaSufuDgseAnOV9zbcgyBeK7JtI1Qymgkpk6JBzt9W1qItuZqE6dyFEDHgV8B/mon8ENmNINuPAxz3ed7MQYqcQYufk5GSrZrhiKMDmYRPTmTLWDkYZdDMpfn5AOcsKWSboVMhI9Tz2pjX3vP+au9LbL103CFTKVlZfmbi35h58EVOobuY+a7JKdUF1OmA/x+w52w9AqUq1Ged+8OQs2XyRC9d4Fy8pdLL9QCpT8jV5W0A16AIm8Ie5vxx4SEo5ASClnJBSFqSUReCzwFVub5JS3iql3CGl3DEyMuKDGZUo9Zdpfzqks4AJDMdWKMpAerg4oZiLs1ClE+0HwDuPXTn3RqcxlQdUmzTOgf3KuY8azt2buXs4d4IsYmq8/UApoOruaNo5Zg/szr3x/jJ7rLYDgzXX7WT7gXLmXuoK6cxMCgJ+bPEN2CQZIcQa22uvAR71YRtNYTCpOkMGwNzPplk54DWstwPOXckynWbu0eqyS6LJgKr9ttsvp7TveIpVA3ErYOf83abTVTpCYjL3oBuHhevPc1cX0N6Yu/2+doV08e7Le4392kyu+57xaWKREJtGKnu4OxGPhjrWfsCuuecLCzRbBkAI0QO8GHi7bfFHhBDbMSS8w47XAsVgQNOYikXJiZSLLBMpObZq5dLtgLotra65B5MtA94B03qmNbnBnqbol1PaN5Fi6+oBYmHDpgrnbh5HnsxdBNdbvpQKWT9zn3PpcRKx5cn72VvGTZYZ7jX2WzPj9vaOT7N1VT/RcG0+Go+EyZt3zJE61vcTZQFVW1fITmjuLXkcKeUcsNyx7M0tWeQjgmr7e2ouS74oWe2UZTrI3FUan/OgCrr9gHLeXheSZjX3jM+ae6EoeeLEDM/evNy64/KSZTyZe8tWNI5wyLhbqCe9cM50PD2OoH/evLD6137AvYgpHgnTF49wqkGZVErJnmPTvPDClXWtr4ZkZzvg3O2NAvNlRUwLU3PvWsQiIXpj4bYz91IapEOWibgzwCDgxdxDHWgcBjCfdd9WJBwiFg51PM/98JQRsNu6esBzDud0OocQ0Ocha3SkcZjpROth785USCg5QvtntgqvIiYwdPdGA6onUhmmZrM1K1MVrN+vAxkzXsx9Iee5dy2CqFJVE5icww/UQdaJQiavVMhOMfdqzjsRDbWU5+4Hc1fB1K2r+i2H55bn3hePeDquYFv+mgFVsyqtnowZVQZvt9/u3H3Lc/cIqEJzzt0Kpq6tHUyFEqnqRK67WyrkQs6W6WoMBtBfxq2ACUqstSPMPaece7VhHUFo7rUvcM0M7LBfmKrJCfWmCT5+PIUQsGVVnzVk2Xnxm573bhoGrTH3YlE2JItYFapmUVo9F7i5bL4imOo8PvyAVxETGFWqjc5R3TNuOPcL6kiDhM4y91Q6ZxGogvmbpnPFiqy1ILD4nXsy0vY5qqr1wEifU5ZRB1m545rN5PnDrz5cNnm+FvZPpPjzbz5mZUZk80Wu+9hP+cYvx1zXz1htRh0BVVE/c//Hnx7g2X/9Y75435G60zlv/rcHy54n6mDutfrP/OsvDvFfDx8tW6ZsT0RDFUVMP3jsONd/6i6u+sCP2PK+7/LX391b0+79Eyk2LO8lEQ0TCYcIuwz2nk7nPfV2aK5C9a+/u5cXfPynXPCn3+d3/v2h+t9oG9YB9V3E5jKVDDJeJsv4mQrp7tyHm2Hu49OsX5asemG1I+Yhq/mBs3M53v3VXZ6EMZXJW/Ob80VpEbuEbb8H1Tl00Tv3oWQQzD3Dir5Y+S0upVRIZ473A4dPccdDR/neI+N1b+N/femXfP7uwxyYnAHgkaNnOXRylr3j7rM+LebuDKg20BVyz/g0x86med83HuVlf/tzfrRnouqB6cbO66lArdaiYCaT50Pfe5wv3/902fJSe4VwBWv9x58eYPxsmudvHWF5X5x9HvNQ7dh3PMXWVSVmGA1XdlucTuc8M2XAlGUaOHGLRcm//uIwsXCI0eFkXXYq2PPcjc+q/R77oA4F+zAXP4uYvJz78t4Yp+ayDe2nvcdq93C3I+4hq/mBew5O8fWHxjxnI8+k8wyaFcyFYrGUPhuPWHNkJ1OtzZGtF4vfufcEobmnWdnvHDZsC6g6HNfByVkAdo/VPzxbMUaVI3z/oVOAcRvohnpSIWsx9/lsngvXDPCZX38GhaLkt7+wkxtvvZe95m2yE/Ze6Aq18tzByN7wev1HeybI5IsVLSTUPk1EQ2V8czKVYdfYGd589bl85HWXcd5IH3OZ6gwunStweGqW822j26KhkJWnrFBtUAfQcLrM5EyGbKHIm64+l6s3LSsLxtWCPc8d6gyo5goVo/XssoyvM1SraO7ZfJHZOmW42UyeQ1OzdRUvKcTbKIeOnZ4D8GyzPONg7sr3DPXEGB0yehYdPTPvu11uWPTOPYg5qkZ1amWnOq9UyIMnDfa9a+xM3dtw9uW4/9AUANPz7g7BKxUyLOpn7orpveyS1fz3H1zLX11/MU+cmOEd//6g6/puTr+efu3VNPdv7ToGwFlH+pxi7slouIwF/uTxE0gJL7xwFQC98UhNp/nkiRmKkjLmHg4La9iCQi3NvVEoR7FuKElvLFIWjKuFkubeQEA1m6e3qizjD6pp7laVap26++PHU0hJXT1lFLyynfzA2GnDMXvJlDMZgwAIYfwm6nwd7okx1BOlJxbWzt0vDPZEyeaLbc1YcesrA+VFTHYcOGEw94MnZz2ZtxPLbNV9haJk5+HTQKlq0glv5l5/P3f7bXw0HOLNz9rAW5+7kSNTc1afEjvcnHvCQ5qyw0tzPzOX5c4nJgmHBKcdd18lzT1clgr5o70TrB1MWD1IeuNhq9WtF9Qdx1Ybc4+EQhXsLJXOVdXcG4VyFOuGk/QlIsznCnUHgO29ZaC+gOpsxkWWsTt3n6h7seg+Zg9KJGWqzhYE6piqp6eMgle2kx+wnLsXc0/n6UtEreIw1fpkqCeKEILRoSRHT2vn7gvaXciUKxQ5OZOpSIME7/YDB0/OsLI/jpSGdl4PltsYz97xaVKZPEIYQT43ZPJFQqI89RHAXtNRi9nMZyvzczetMMq/D52crVjfTf9PRGozd685q99/9Di5guTFF65iPlcou0gq5x6LlIZVpHMF7nryJC+4cKXlXHpiEWZqyDL7JlLEIiE2LO+xlkVCwurHDYY+nsrkq2rujUI5itHhJH1mBfNsjQuRglNzr2ca07yLLNOePHeJV+3QsClZnK6zkGnP+DQDiYgladQDdcFqR6qvYt1OyU4hlTHSZcMhoy2EIiXqjmV0OKmZu18YanN/mZMzGaSsLGAC9yKmmUyeiekMr7psLVC/7q4uUqdmM5befsU5w6Q8vpcasedkUOEG+rnPZvMVbRM2jfQBWIFdBSkle49XMvdQSNQcWuLF3L+1+xgbV/TynC0rgPK+/Jl8kVgkRMg2/ejeg1PMZQuWJAPQVydzP2+kr6yaMRwS5GyyzGw2j5Te1anNYOz0PMt7Y/TEItZ+rleaKTF3FVCtLxWyJ+pk7u3S3L0CquYdaJ2yzJ5j01y0tnYPdzvaWTxY0tw9ZBkzo0rd+amLmLqojQ5p5+4bVNvfdnWGVOP1nK0HwL2I6aDpFHdsGGb9siS769Td1bF9cjbL/YdOsW44ydbV/Z7MPZ1z70QXaaBCdT5bmTp37vIehKhk7mOn58tKr+2oPY2p0rmfSKW558AUr9y2hmHzN7RLM8bFK0RIlOSEH+89QTIa5lmbSh0xemIR5rKFqs5v3/FUmSQDRraMXSJR+9lvzX102GCkFnNvIKgKjWnucy6/Z7ls17p3l1JWzZZZ1kBP90JR8vjx6YaCqeCdgtwqzs7nSiP0XJh7vlBkPlewmHvBDKjGIyFrv48OJzkzl2v4d24Gi965t3tgh1cBE7inZKlMmU0jfWwbHWLX0/VnzABMzWS4//Aprtq4jP5ExFtzz1UOx4bysvBazH0uW6hgeolomNGhpPU9FLwyaKCOOaouAdXvPXKcooRXXrbWYj32C3S2oJy7oCiNYpH/efwEz92yoiyIrJzmnMf2z87lOD6drnDu4ZAoO4FVbMRPWebo6XnWOZx7vRkzpTF7xjFWK1tGSsl8tmCN2FPwOxWy6LijcKI3FiYWCdXl3A9PzZLO1dfD3Y52pULatXK3i6n67friEVNzL3JqNmsdv4AlLx0LgL0vGefeLlnmhOncne1+wQgqOYf1HpycISQMBrxt3SBHz8wzNVN/3utDR85wajbL1RuXM5DwDhZn8oWyE1chUmeFarEomc9VBuDAuDCpjB+FveNGhee5Nt1aIRENVcwjtSNpjiO0s+tv7TrGBav72bKq3/UCnc0XiYVDRifGopFVcfTMPC9yNJfqMZ3ZnIfTVLnl9kwZUAHVks0qK8kvWUZKydEz86wbNvZXb4POXXliVbZQS5bJForki9KawqRQJsvUt+WqUE7PKxVSCGFUqdbh3EttB+rPlAFb+wGfnbuSZIAyyU5Bsfq+hJ25Zy31AErOfUw799YxqKYxtSmgenw6TTgkLC3RibhjWO+ByVnWL+shHgmzbd0QALvrDKpCKQXwqo3LLBbpJoekc8WKTBlw5LlXqTpN51V72EpntmlFL4cmZ8uyK/aOT7Nhea8VOLKzptpzVMNl2zx6Zp6dR07zSjMuMeTyG2ZNzV1NP/rx3gkArrug3Lmrcnsvp2k5dwdzdw6etpi7T7LM5EyGTL5YwdzrvV23GofVydznXZqGQWU2VatQwe1qHSqHe2Kcrse5j08TDQu2rGyQubepG+tYncy9XzH3ghFQLWPu5u8dRMZMS7+sEOKwEOIRIcTDQoid5rJlQogfCiGeMP93bIYqGDs6HBJtY+4T0xlG+uKet6HGkOySYzswOcNmMyh56bpBhIDdDUozK/vjnLu8xyqocZNmMnn3NqNlvWWqsOm5KlN7No/0MpstWPEGgL3Hp7lwTb9rXnuySpGSet3+nm+bue2/us2Y+zLkkmGRyReIR8KEhCEF/GjvCS5bN1hRTKYYsdekp33Hp+lPRFgzWP6+SEiQK9g19+qDOhqFlSkz5JRl6tOJ7f3cobbm7vV7+h1QtZx7lQDo8r76mft5K/srKr9rQfUG8jvPfez0vBX7ctPcLVkmESFskoPTc1mL8ACs7E8QCYlAgqp+XLavk1Jul1LuMJ+/F/ixlHIL8GPzeccghDALmdoVUHUvYFKIR0vMvViUHDo5a6UT9sUjbB7pqzuoqnDVxmUIISwW6cbcVcDRiUidzN1ieh6yDJSCwzOZPEem5rhw9YDlPOxMPRGp7tzVRUg5oG/tPsZl64c4d7mxn3pjYaJhUSnLmJq7qkq1Z8koqKIdL+a+//gMW1f1u2QVOZl79RF7jeKoleNuyDJ9CZUtUx8JUXdNpWyZ6utbzt2R/VSmufsgzFiaexXnXm9nyL3j0w3r7WDcNUTDwndZ5uiZOdaYsTW3bBmV6WRo7iGrQtUuy4RDgjVDie5n7h64HrjNfHwb8Oo2bKMhDCaj7Due4nuPjFt/dx846ctnn/AoYFKIR8JlckMmX7ScI8C2dYPsGjvbUAHJMzcuA0osctrlrkSlQjrhB3PfaF6cDpoZM/uOq0KTAddGYW7ZMHYkbS0KDk7O8OjRaV65rTSt0bhAx8pqFbKFknM/dHLWrEqtHOZQYu6Vzl1Kyb6JVFnbAYVI2Km5N8fcd4+dcf1t7Tnuhp3GPvAqyz84OVN2h+asUP35k5Nlx/f3Hhnn6VMljVh9f2eAPBauHVCVUnIilebeg1Mcmaqsb0ilczx5wpC31AWxWuZiLef+6NGzHDszz4lUpqGeMnbEI+EyWWbv+DRZM67jJFOFovTsFWPH2Ol5i3C41RWkMqW4TNgMqJ6ZKw+ognG3pgKqP913goefPuP8KF/Q6j2mBP5bCCGBf5JS3gqsklKOA0gpx4UQruNThBA3AzcDnHPOOS2aUR3rhpP8/ImTPGBWdSr89x9cy/mrGmcGdkyk0lxlOls3JGzMXTnDzbY5kBetGeCOh45ydj5nyQ+18JzzjLxvxSLdZJnZTL7ioIL6W/5azsDFua8eSBCLhHjaDDDtMYuXLlw7wGw2z7d3j5d9x1oBVTvb/+m+SYSAX922tmwdo0eQLVvGFlAFWDOYcHUEymm6yR0T0xnOzue4wM25h8qZ38mZLL2xcEMtcu8+cJI3fvY+vvaOZ7FjQ/kxMnZ6jqGeqCXHxCPG3YlXOumv//N9XHfBSj7wmkuBkiNWt/wf+f6+ivc857zlfPG3rwa8L9ZXnFtSTbP5Ik9MpDgwOcOByVnr/8HJGcuui9YM8N3/fU3ZZ3zwu4/z5Qee4o9eegE3Xrke8M6WAVjWE2Mmk7ekNTvuP3SKG/7pHtaaMlmjwVSFmC2RYez0HC//25/z5qvP5blbVvD2f3uQ7/7+NdZn37l/kt/6/AP8+N3PsyRTJ4pFyZGpOV552VruOTjlLstYzD3K8t4YP9s3SVFSxtwBRod6LHL5l9/aw0VrB/jUG69o6ntWQ6vO/TlSymOmA/+hEOLxet9oXghuBdixY0dbe2B+5tefYTkigPGzaX7rXx/g4afOtOTc07kCZ+ZyrOyvIsvYGISSMezMXTHdegcL/PyPrmP9MuNWXrFIN4dwcibL5ecMVSy3n3RFieecyXnLGVQeIqGQoCcWJpMrciKV5k//81H64hHWDia4fvsoz9+60spwUd/RrsE7mWzSJst8c9cxrtywjNUODXzY0QAuky/S2xuxmOJ1F6x0LXRR9rtly6hgqtsxEAmHynT6R46ebdjR/PwJ4wR+3WfuoScWRgDvefkF/MazNjB2ep71w+WZRX3xiGdAdTZb4J4DU9ZztQcvXz/Mnbdcx1yu/H3/778eK+s75CWzbV8/xB2/+2xe++m7efd/7Cp7bdVAnM0jfbx6+yibRnr58d4T7Hd0rpRScuf+SRKRMB/+/uNW4Lma5q5y3U/P5lg9WG7PVx54mmQ0bI3ia565l0iV2g8PHD5l3SntGjtj/Z6qKvjwyVlP5354apaZTJ7L1g1y+/3uzH0mU7q7+9jrL+O3b9vJvolUmeYOMDqUYGI6Ta5Q9LzD9gOtzlA9Zv4/IYT4BnAVMCGEWGOy9jXACR/sbAm98QgXrC4dJOev7Kc/HmH30TPcYDKNZqCcjTpY3WCvzjwwOUN/IsIK2/qNtGyFUvYPlDI3nLKM0bAow4hLp0qnFprJuzv3arIMlL6Xup1909XnWM510KFLJx1FTM4pUarX9cNPn+HJEzP81asvqdjeYDJWFoRSzP1U2nACKo7hRLUUQyUnOdMgwWw/YJ7A+UKRx46d5Y1Xneu6DS/YnfGbnnkO/37vU1Y9wNjpuYqLSm8V5w7Gnd+JlNGB1LpACjjHJf10WU+MQ3MlCcXewMoJ++/1N792GZtH+ti4opd+R2bQ0dPzPHik/O73yNQcR8/M85fXX8y//uKw1fOoWraMcmY5B6GZzeT53qPjXL99Lb/5nA08MTFT991s5TZCFmFSba7zRWlp3SrNsuz7VQlyqjYh29YNmZkw7pq7EMY50xvv4eu/+2xuv+8pXuDI4BodTlKUcPxs2nDuLinLfqDpTxVC9Aoh+tVj4CXAo8A3gZvM1W4C/qtVI/1GKCS4dN1gQy133aAycJzOzI5E1M7cDWZgZ5jqJPAqZ66GnliYcKjyVn5qJkNRwojLHYXzdtkr6KSKfrydu/G9jkwZd0Rvu2aTp53OCtX5bIGQKDl3xdy/uvNpwiHBKy5ZXfEZrrKM7QT2SulTAVW3bJl9x40eP8O97vKVcj5PTs6QzhXZtq7+SslUOlfWN+h9v3KRdaclpWTMVsCk0BePWLqtF3Y6pEUvghxz1FecNGspVrgcE/aPeM3l69i2bqjCsQP0J6LM5wplju0XprzwnPNWsHYowbGzhoOsMavbFd95ZJy5bIHX71jHBasHrFTYZhCPhC3mbh9oohz4Y8cqz/1qQc7dY2eJR0JsWdVXEWxXUH1l1PndF4/wtms3VVygRoeMi/HY6XlTmuoy5w6sAu4SQuwC7ge+I6X8PvAh4MVCiCeAF5vPuw6Xrhtk7/h0S+lS9Th3exHTwclZNo2UM8xGysedEEK4VqmeMIcBOCdDQaVz98oFVjKGW547lL7Xkak5emNhq7GZG1SFqmKbs+a4N3USKOd+cHKW55y3guUudrvJMrFIyLo4OYeSKETCIeKRkGtDrn0T0xX57Qr29gOKBFzagHN/4PApz9/05EzWzHGvX5ZRUH2FbMTdFfZ9A0Y30bg5MN6Jevu2qIuT/S7o7ienWD2QYNOKXlb1Jzh+1ijqq5Yt44Wv7Rxj00gvV5zTeva0/eKm9lWuULQCmY8fT1X8PlWZ+5ghy0XDIaLhUFmarML4mbQroXLCynU3EywaTfWsF01/qpTyoJTyMvPvYinlB8zlU1LKF0opt5j/T/lnrn/YNjpEriDZf3ym9soeqNe5p3NFZjJ5jk+nKzS9RsakuWEgEa2QZSZn1MDuygPNqYV6Mncly3g4TZXieWRqlnOW91Z1EIloiKLEOiGcPWvsj+1ZMnYM9cTKOkMqrbIWcwd3uaNQlDwxMeMqyYDRYE3pqo+MnaUvHmHjcnfpxw12ScYJFf9xMvdasgyUnLuC1363yxIAJ1MZVvTFXdev1w07YzzFouTuAyd59nnLEUKwajBh7bNqmrsbDp+c5f7Dp3jdM9Y11CTMCwb5MFOQTe9eMGWZgYTRb8iZ+ePl3AtFyaPHznKZWXRoMPfK82b/RMrzeLJD1VQcPT1Pto2a+6KvUPWCusXeffRM059RvyxT4NBkZaYMtO7c+xORCllmsgpzV+eN+u9156JSF72mtluyzKk5zl1Wqfna4UyPdI57U9uIhUO85OJKSQZK+1hdyLLm7WzONm7PCz2xcMU0piNTs2TyRU/mrnqDgFFBfMnoQFUd2Ym7D0xVFEYpjDly3BX6ErVlmb3Hp5lO56yc9GrM3X5XNjmTcZVkoHraoh1KqlF3inuPT3N6LsdzNhvZW6tsn9/IvgL42oNjhAS89vJ1Db3PC/Fo6c5FZbacnsuSyuQtDfwxh+7uJcscnJxhLlvg0lHDZ7iNYLSmedXh3BPRMCP9cQ6bF5dulGUWNNYNJxnqifJIC7q7cu7VStIVg1C9WDY5mHsj/bjdMJCIVsgylnN301fNMzlqVfF5Mfd8mS7uRDwSYi6bZ+zUvGs/GTucc1TnsvmyLBwlyzxv64jnhbLUB9x07maeey5v7De3DpgKfS7TmPZ7tB1QUP3cs/kie8enrVYR9eDMXJY949M810xZdWLMg7n3xSKcnct59ok5f1UfUsKDR06XZJmqmrtNlpnJMuIR+Bd1cvcBB3O/+0nj7kSl5trrPbz6ubuhUJR8/aExrtkyUpEl1SzsWWqlfv/G8+dvXUk0LNjjaHZ3IpVxJTtKllOE0NlUDmzTvDyOJyfWDiWt1Gjt3H2GEIJLR1sLqlrOvZosYwYTD0zOWg3D7FC3r03LMkl35t6fiLi2H1Cncbymcy/QY9PFnYhHQjx1ao5soeiarWFHIuJ07uXMPRoO8X9ecj7vetEWz8+wt26WUlrZMnUzd0dA9fHjRqMzr74lkbAgV5Tsn0iRzRct1lYP7jt0CinhuVu8nPs8y3pjFb3yr968jKnZLP/58FHX912+fphISPDAoVM1a0njkTDZfNGKc5ycyXj2P2qUuavj7RcHTrJppNdyyPaBNY3IMncfOMn42TSv3+EPawfjLlA5aidxOnd5D1tW9lcwd8CKGdixe+wMPbGwRczcpnTtr5JW64Z1Q0krNVo79zbgsnVD7JtINT2Cb3o+Z/Wu8ULCZFAHJmeshmF2qDSt5mUZF809lfHMvVfnXLTGtBq3Xu52xCNhTpoDF85dVl2LTsYqZRnnZ7/zBVu4eK23A7V3hswXJUVp6spWQLUKc09EK8YZ7p9Ice6yHs/vGAmFKBSlLQWufud+z4EpEtEQz7AVCNnhlikDcP1lo1y2bpAPf/9xV+09GQtzyegg95sXD/Bm3cph5AqSYlEyNZtlRX9zaYUKfRZzz5ErFLn/0ClLkgHKWHcjzv0/do4xmIzyIpf2Ec3CLss4z63R4SQXrR2oOx1y99GzXLJ20DrPIy7zdfdNpIiFy6d5VcPocNK6SGrNvQ24dN0ghaKsuD2rF9PzuZq9RuLRMFIaAyHccrHVZKTWZJlyR3Ai5R21V84gal5UvDT3uWzBNbNCwe5Ma8oyVnuBovnZeatbY72wM3f7iL16Aqor++NlTc7AYO7VbqHDZi7z7rGzDCQinFMjrmDHPQemuHLDMtc7JzBkGTfnHgoJ/t8rL2ZiOsNnfnbA9b3P3LiM3WNnLULiKcvYmmednc9RKEpWuMRgGoE9oLrr6TPMZQs857zSYBR7jKde5352PscPHjvOqy5b67m/moE9oGp37rFIiBW9cS5eO8DJmYzVslvBqbvnCkX2HJsuy5RS81Ht2H88xaaRXteaETfYxwZ2XbbMYoBiY9V093TOqJp0K1o4O5+rGkyFktM5ODlTobdDKWWsngHHbuhPGHqy/QCeTLkXMEHJGcRqMHeDXXs7YPW9IiHhGTi01jUvBKpK0inL1IPSwI6cq3Ov5hjWDiY4kUpbv2E6V+DwydmqmQ3qBH7k6Bm2rRuqO4Pj9FyOfRMprt60vGJ+LRhpecaQDveLxTPOHeb67Wu59c6DZb1hFK7csIxsoVizH4n991U57m4pptCILFNi7r94cgoh4Grb1KtYJGSlxNaruX9r1zEy+aKvkoyyxc25rx1MEAoJq/L1MQexczL3JyZmyOTLaxwioVCFP9g/MVO33g7lzl3LMm3A6oEEK/rinrr7fLbAb9+2k9+//ZcVKWhQp3M3nU5R4lrarG71vAbu1oK6c7DP3qwqy5j/YzU09+PT89Z4OzeoW8l1w8mabMXeGAyM/doTb8y599g6QyqHHouELHmi2gmyetCoCFT5/yr45dYwTCESNpzDvuOphiQZVQn67M3LXeW6k44+7m54z8suQAj40Pcqu3ns2GBIPapS1MsxW0OiC0UrNXaFV0C1Tu8ejxhTlFLpPL84cJJL1g5WFOgo3b3ez/zag2NsXdXfUEyjXlvVmD27c1c55hearQec0oxzQtIjZjad3b7KjqE5jp6Zb6iVyajt9++6CtXFACEE29YNWj+gHfPZAr/9hQe460mjAu8pFxbVCHMHKgqYoKS5t8LcoZSeNpvJM5steMsySnMPezP36XSOPcem2eGhGUPpe51TR+53wuHcZx3ZMvXA3hlSVR7atcpquuWaIcPhjJvVkyr45dYwTEG1H8gVZEPOHYzsnEtHB12deykN0tu5rx1K8o7nbeY7j4xz38HyfPmhnhgXrO63sn+8NHfF3DO5ohUbcUuNNT7DfE8ddHsgEeFEKsMvnzrNs22SjMJqs7ainiKmJ0/M8PDTZ3j9Dn9y2+2w5/nbB5koxjyQiHLOsp4y594fj1Qw991jZ+mPR9hgO86j4fJe/0+cMAKj9eS4K6y1yzJhrbm3BZeODvLkiZmyANZ8tsBbb3uAuw9M8ZHXbSMcEmVTWBTqce52ucDNuSttshXNHUrOvVqOuwFje9bJ7+LcHzx8mqKEZ26qPHkVFNuoleMOJeY+nzMGVadzxYqJQPVg2GxBkC0Uyr6D3R43rB1UcysNfVUFv86tcmGyO+ZLG0iDBLhywzCRcKiGc6++395+7WbWDib4y2/vqQgIXmnrMFktFRIM5j5lMffqF/x6tN/+RJSf7Z8kV5BlwVQFlQ4ZqsOz/MeDRruJ67eP1l65QcQjYXIFSaEoy1JL7U714rUDZW0I1g4lKzT3R46e5dJ1g2V5+07mvv949bRaNwwmo/SrjqCaubcH29YNUpRYQVXl2O85OMXHX38ZN+xYz+qBhGsU/ex8rqyRlxsUw+1PRFwdbqn9QHODBQaSqqe7cXGqVp0KthPZYu6VAdV7D00RDYuqZeCKKdcKpoI9z71oZcw4BzXXgyGzBYG6INmZZqIKc1dZHCrNbd/xFJtX9ll3L25QAeflvTGr/Wy9eLbp9CIuHk4xbrvm6oZkLMx7X3Ehjx2b5j92Pl322pW2FtNefNc+R/TkTIZwSHgSEeG44FdDfyLCqdkssXCo7CKjoGSZegKqP9pzguu2rqyrZL9R2GMOduJk3+8XrRng8NScRexGh5McO5u2LgaZfIG949MVbSecvf73TaToiYVr/qZOKGlGa+5tgvrhjOh/nrd8/gHuPTjFJ264jNdeYQR51g0ny4bjgiExZPLFumWZTY6GYQqlCtXm7C9NY3Iw9xqae7UipvsOnmLbuqEaqZCmLFMHc1eOdz5XsHq8VAvWemEwGTM093xlhoxyxm4YSETojYWtplb7j6fYusq9tauCymIyRiE2Jhk8a7Nxx+OVIeuW4+6GV25bw45zh/nYf+8rk8+uKmPuNWSZfIGTqSzLe2OeVaNKtqhHllEy4OXnuB8faipZPc49W/A/kKoQtzl3N80d4OJRQ3ffa84jGB1KGhfDWeMc2n98xpDlRofKPjviKGLaP5Fiy6r+hqty1cVAZ8u0CSv7E6wZTHDfoVO89fM7ue/QFJ+4YTuvsZVBjw5X3q5N11HABCVZZrNHS9pwq8zdkmUMp6lSuzz1VVHO0pya+2wmzyNHz1rTnrygTp5q0oZCImasm84VSn3iW5BlnC2DoXoATwjBmqEk42fSnJ3Pcexsmq22FtBuUBeLbQ0E+kJCMJCIcKGZieFlUzW93Wn3n73yYqZms2WTrFYPJqyLqmf7AdvFe2o2UzUNsp5aAYX+uHG8Pcej+na1ydyr1X4oLO+NVbTD9QulIdmFcudextyN31ZJM0qyUef6LnNikzPmYjD30mfuOz7D+SurkwU3lJh7F/ZzXyy4dHSQ/94zQUjAJ27YzqsvL9cA1w33cHz6qNVmFkolyQM1xq4pB7TZ48dvtf2Ac9Te5EyGSEi49u2GEpsMCePPydwfPHKaQlFW1dsBnrd1JTednK3oleMGNTEpnSuwf8IIPrUiy9hTIevFmsEE49NpnrDaDtRi7saOakRvf/u1m3jtFaM1HVu9zt3Y/iCvu2Id//HgWNnyKzcs46lTc7U193yRyZksy6vMHFBpffXUHqjj7TkuwVQwJKNf27G+rg6a128frSqNtQL7xc0eUF0zWNr3qwbiJKIhKxajnO1ff+9xnrlxGTsPn2aoJ1rxe9n7Dj169CwnZzIN6e0K7Wbu2rlj5Or+aO8Ef/Nr212DO+uGSs31z1new7d3H+OdX/olUL1pGGB24oNLPBhgyGLurTl3Ve02aXb/87pFVIzvWZuXc8/BqYoJUPcdmiIcEp7VlQobV/TyF9dXDtVwgxCCZDTMkydm+Pv/eRJoTpZRnSGVbh2LhPjaO55V1/zLNYMJ9h2f5JA16rC6c1/WGyMWDnHZ+vqZu9dv7IRzAlMt3PKyrXz/0eNl81vf8twNnLOsp2p7CDCc28lUxvPOEeC8lX38zvM388arao+7XDOUZFlvzLPXzkAiyodft63qZwwkIoQE3HBleyQZKKUgG8zdOMZvvHJ9mSMVQrCspzTP9byRPl57xSgPP32GT//0AIWi5EUXVk74CglhDdf51b+/C6i/7YAdv7JtDVOzWWvott9o2rkLIdYDXwBWA0XgVinl3woh/hx4GzBprvonUsrvtmpoO3HTszfwK9vWeA66VlfusTNznLO8h18+dcZ6rZZzX7+shztvuc6TrbXSzx2MW8SeWNjKljmRylQNUG1Z1c8v3vsC1g4m+IefHLBygRXuO3iKS0cHrdmefiEZDVtj7cB7CEg1qCrVCVN6ikVCbFs3VDGf1A1rBpNMzmSsdMxabOlXLl3DlRuWsdKjGKwVNMLcwZAOf/zu55VJgBevHazarsGuOU/NeneEBMPJvedlF9Rly+8+fzO/fvU5LTHuF164ip+/5wUNByAbgf3ipvjL7113XsV6w70xjpmB9mhY8IkbtpvvK3D45FzVRmb24THN5OmvG+7hT15xYcPvqxetnMF54N1SyofMiUwPCiF+aL72N1LKj7VuXjAIh4SnY4dS2ppKY7M74lrOHbBmnnptG5qXZcBgS/aAarXvAuW3g3bmPp8tsGvsDG957sambfFCIhq2gr3QpHNPGtKCaiXQiFa5ZjCBtBUy1UIkHCpLm/MTtdIg3bCyQXanLl6n57Kkc0XPAqZGkYiGW24TEA6Jtjp2cDp34xh3u5t1zjctvT9cU2o5bE4h++xv7HCd5tVptDKsY1xK+ZD5OAXsBfxPWO0CrB5MIEQp0GIf8FyPc68G5dy92rzWg4FkpJQKWaU61Qn7EGGAh546Ta4guXpjdb29GSSiobLulY0WMUGJuZ9IlZh7vVgzVJ7r3kk0ytybgbrwqRRer46QixX2Ii7FX9zaQXjFpuqBGvZRb7OwoOGLki+E2ABcDtxnLnqnEGK3EOJzQghX8VYIcbMQYqcQYufk5KTbKl2DWCTE6oGExdztmQu1smVqwQ/m3m/2dC8UJSdnqssydsQiITI25n7fwSlColTi7iecbK8Z5q4upOoOoJ7UPQWVq66qVDuJ0QCcu3Ju6mJWTZZZjFAXN7vm7pae6cXc68Hhk0ZAu9qdeSfRsnMXQvQBXwfeJaWcBv4R2AxsB8aBj7u9T0p5q5Ryh5Ryx8jISKtmtB2jQ0mOnjFuw1QABmg52q8KXZrV3MEIUKXSeU7NZj0HY7vBPkQY4N5Dp7h47aDrcORW4axIbca5q1tfu+ZeL5yFTJ3C8t5YU3ctjaLk3I2LmV+yzEKBW557O5j7moGEr90s/URLnkkIEcVw7F+UUt4BIKWckFIWpJRF4LPAVa2b2XkYhUzGiTJlc+6tQvXgaMW5K+auGG29sox9iHA6V+Dhp8/UzG9vFs6Cl6ZkmaQKqCrNvf7Dtz9hlHsf6zBzD0KSgdJdTcm5LzXmbk+FNJa5a+7NE5kjp+bqqvPoFJp27sLID/oXYK+U8hO25fYJx68BHm3evO7B6HCS8bNG29ipGR+de53DOqoNFFHTmJQWXT9zLw00ePjpM2TzxZr57c3CGfysp8jFCdUZUk3AakSWAYO9p3PNFYv5hWaCqc0gGhYIUbrLaUV+WIgoyTKlgKorc29hvxyZmmXDiu6UZKC1bJnnAG8GHhFCPGwu+xPgDUKI7YAEDgNvb2EbXYN1wz0UipKJVIapmQyjQ0lueenWlj83XEfjsKdPzXHrnQfZtm7QajZkx4A5jemE1TSsvsyKeKQU5Lzv4CmEKC9t9xPVWhnUCyEEQz0xJlMZomHRcLn3mqGk1cGvE/i9685rKh+6GQghzFFzRYZ7om0rFupWqArVrC0V0o1QLGtSlpnJ5Dk5k+WcGlPIOommnbuU8i7cq5+7Oqe9Wajb6QMnZpjNFvjd686pqGRtBla2jEfL33SuwO988UEA/uGNV7gWrfQnouSL0hru0AhznzKZ+32Hprhw9UDNRmjNIuFTFd5QMspkKtMwawcabgDmN2569oZAt6cGViw1SQbsskwpoOrm3Jtl7ioLqVszZUD3lqkbKi93t9lvYrlPt7lW+wGPYR1/9e09PHp0mo/fsN0zKq86Qx6cnKU/HqmbJSvNPZsv8tBTp3nmpvawdvCHuUMpHbKZku1qBSmLEUqaqNZ6YLEi5lLE5NZjvlm5Ssmoi1JzX2pQBS27zJ4yfmmYpfYDlVrwf/7yKF+87yne/rxNvPgi7+HBKrvlwORMQ+1T45Ew2UKR3WNnSOeKPLMN+e0KzfRvd4Oa/NNMs6W1g8EEM7sFir0uReZu9ZbJGZq7EO4B1aEW71TraXndKWjnXicS0TAj/fESc/fxhImERFlzI4AnJlL88R2PcNWGZdzykuravmpedvDkbEP5zLGwUcR0nzlC8Ko2ZcpAqddHq1AZM80wdzWRaakgtoSdeyQcIhISZAsFClJ6ToaKR8JNt9oY6Y/X1bq5U9DOvQGsG05aaXh+yTJgaIH2gOpsJs/vfPEheuNh/v6Nl9ecUaqYezZfrDsNEoygU7ZQ5N6DU2xd1d/WjAr/mHsLzn3JyTLKuS89WQZKFdj5oqyanTXcZDpkN+vtoJ17Q7CnsfmpY4ZDwmo/IKXkj+94hIOTM/zdjZfX7BMDMJgssYfGZJkQc9kCDx5pr94ORvsBP6BkmWYCqmuWmCyzlJk7lALKxRrOvdmMmW7OlAHt3BuC1XArHPK1a6Kduf/7fU/xzV3H+IMXnc+zPQYiODFgqyhtxLnHzDz3uWyhrXo7+M/cm5k72RuP1Oy/v5igLoBL1bnHI2Ey+UIdzL05566Z+yKCSodc3hfzdVp7xBy4u3vsDH/1rT08f+uIa3tSL9jbBTTSotYelGw3c7dny7QynEB1hmyGucPSYu8Wc19ifWUUVg8m2DM+3Tbmfm6VHvndAO3cG4Bq+OS3Nh0OCU7NZvndLz7Eir4Yf3PD9oYKdBLRkDUWrlHmDsawhnazO/uFpJm+MgqtaO6wtIKqSnP3Mz60kPCr29bw6NFp9k2kXKtTFTRz12B9G537t3ePMzGd5lNvuqLhg00IYbF3r9mpblAnf7v6ydhhZ+71jHPzgiXLNOvclyBzb+SCv5jwqu1rCQm49+CpqgO7mz2fz9Wa++LB6JBxpfab5ao0rT95xYVccU5z7XaVlrxyoHHm3q5+MnbYK1RbKWhqJc8dllbGTMxM8+vWroXtxsr+BNdsMTrOVtXcm5Blhnqibavm9gtLJ7rkA5KxMJefM1QxDb1VbBrp4+rNy/nNFsrTB5JRwlUGY7th80gfK/vjPHtz+537uct7iYYFuYLk7dduavpzWslzB9hx7jCrBxItD1mpFy+4YCV7x6cD2ZYTF6zutwanL1W89opRfrZ/sqpzv2R0gBV98bpJ2+aVvU0F9IOGkB49TYLEjh075M6dOzttRsegfoNWgrRv+ud7eWJihvvf9yK/zOpKSCnZ+n+/z2suH605iFlDYy6bZ8f7f8RIf5yf3XJdp83xHUKIB6WUO9xe08y9C+BH5s0lawfpj3f3baIfEEJw2fpBtqzq67QpGgsAPbEIv3bleo6Y806XEjRz19DQWNSQUvqautxNqMbc2yYcCSFeJoTYJ4R4Ugjx3nZtR0NDQ6MaFqtjr4W2OHchRBj4B+DlwEUYAzwuase2NDQ0NDQq0S7mfhXwpJTyoJQyC3wZuL5N29LQ0NDQcKBdzn0UeNr2fMxcZkEIcbMQYqcQYufk5GSbzNDQ0NBYmmiXc3cTucoit1LKW6WUO6SUO0ZGRtpkhoaGhsbSRLuc+xiw3vZ8HXCsTdvS0NDQ0HCgXc79AWCLEGKjECIG3Ah8s03b0tDQ0NBwoG157kKIVwCfBMLA56SUH6iy7iRwpC2GeGMFcDLgbbqhG+zoBhsUusWWbrCjG2wAbUe32aCwAuiVUrrq2l1RxNQJCCF2eiX/LzU7usEGhW6xpRvs6AYbtB3dZ4NCLVu6v/uNhoaGhkbD0M5dQ0NDYxFiKTv3WzttgIlusKMbbFDoFlu6wY5usAG0HXZ0gw0KVW1Zspq7hoaGxmLGUmbuGhoaGosW2rlraGhoLEJo564RKMRS7b+qodEgWj1XFq1zF0Issz3umEMRQjxfCNHx5jlCiHcLIV5iPu6kg+1XDzr8u3TFRaYb7NDnSoUdi+JcWXTO3RwScifwSSHExwFkB6LGNjveBGSC3r7NjpcIIX4AvAf4DejY/nixEOIu4GNCiD/qoB3XCyFuAy4LetvdZoc+VyrsWFznipRywf9hdKEMAzcD92L0jj8H+Cnw8oDtCAFvAKaB13dwf8SA9wM/B14BvBr4ABDFzJIK0J51wC+AV2Kwke8AH1a2BmjHdcBu4EHgd4DhoH+XTtuhzxVXOxbluRL4zmzHj2N7fBEQMR+vBL5qHrihZnZOC3Y8D/gUcLn5/PXmjxYN2I4rHTYd6NDv8iLgM7bnrwCywJZ27w+HTRuA1cALgM8Dz+vQ/tgArAnaDn2uVLVj0Z0rC1qWEUK8E7hDCPEHQog1Uso9Usq8EOIK4D8xTqL3AJ9Qb2mzHX8ohFgB3IXBzP5RCPE4cAPw98CnA7JD7Y8HzOVRKeXPgINCiJe3Y9tV7BgA9gPPFUI8y1xlJfAY8H/bbMfvCiH+P/OxAJ6WUh6XUv4PMAE8TwgxWvVD/LHDvj9WSykPSynHg7RDnyuedizecyWoq1MbrnavwWgtfB3wrxhX/+3maxuBc8zHvcAZYEdAdvwDsBVYC/w1JUayDJgEnhHg/rhMXe3N7f8z8JKAf5d/BFYBb8Vgqb8AvmT+RruADW2woR/4DHAcmKHEUEOUpJFtwL8Dr3W811emWO04DcoOfa4szXOlbYa3+w/4EPAW8/G5wLuBf/VY91bgBQHZcQvwz+bzhGPdz9KmW3CP/fE5xzpfBP7afBwKyI4/wrzNxNAwrzIfh839saxNdrzB/P9l4J/UNh3r/G/g/2HII+/p4O/SVjv0udLUb7Lgz5Wul2WcKUC25weBNwJIKY9gBB56hBCvcqz/f4GLgT0B2fEtoF8I8SopZdq2/p+adjwekB3fAXod++PfgauEEAkpZTEgO74JDAshXiOlzEkp7zfX+ysMpphqkx1qOMy7gDcIIbZIKQtCiIhtnduB3wa+gtEbu+nUtxZ/F1/s0OdK03YsynOl6507ELE/kealDPgaMCeEuN58Po4R8b8IQAjxcjOd6HzgdVLK4x2y4xohxE9MO/4/KeVE0HbYDqYkBpMttGhDM3ZsBRBCbBFC/BdwCfAHUspcO+yQUs4KIULm7/5pjNtspJR5KaUUQvQCfwc8AmyTUt7i+B6NIupmBzV+FyFEH/C3PtnRsA3QlnOlWTv8Plea+k3MZX6eK43a4c+50o7bDZ9uWa7GuDX6ILAF85aakn4qgN8Cvk9JR70F+Avz8Qbgki6wYz1wUQft+DPbZ4Q7aMefm4/7gXVttCNMKeMjZFv/KeBZGJrmleaylT7Y8SzgPzAc9EVN7I9Iq3a0YIPf50qrdvh1rjRrh9/nSqvHRkvnSlcydyHEJRgR828DJzByclVRQd5cLQn8AONqd6sQYi1wOUbaENLISHi0C+x4WkrZ6m1uK3ao15FStsRCWrQjZ66XklKOtdGOgpSyaDLiQdvbPowRoPo50GOue6JFO1ZiBOO+C0xhaOdvMT+73v2Rb8WOFm3w81zxww4/zpVW7PDzXPHj2GjtXGn16tSOPwz98d/Mx73AXwA/AjaZy/7K3CmXY0S2349xO/NpfLjiajsWhR3fB64xn78cQ7/9GGb+tE92vBi43WbHSzEuOBeYy97f7v3RDTZoO7rTDl++iA874nnAM23PLzO/6Hnm8z/D0Kf+wtxRXwI2Oz6jR9uh7XCzA+OWeL0Pdrwa+BPgV8znI8ATalvmSfpnGHcJPe3YH91gg7aje+0o+zw/P6yJHdIP3AGcAj6HmeoD9AEfAe7EKLD4NnAjBvOy66i+pChpOxatHX6x4xFzO3cC78CQgl5nvvYh4JPqewPPxZG25sf+6AYbtB3da4erbe364Dp3TBx4J0aJ7fuBtzte3wZcbz7eAXyvHTtF26HtqGHH1cAttudvBu42H1+GIQG9yHx+IUZKW6+fdnSDDdqO7rXD7a8sjSwICCF+AzgC7JJSnhFC/DNQxMjvfa4Q4nwp5X4AKeVujNJkMAo87hVCCGmg1dxTbYe2o5YdTwH3YzT4OmQuD2PkgT9mrvoIRsrcJ4UQrwZeiJEFETVtbNqObrBB29G9dtS007yCtBVm7uhqDJ2pCBzA0Eb/t5TypLnOFuAmIC2lfL/tvc8APo6Rb3qzlPKAtkPb0Qk7hBBhaRRC/TrwKinlDbb3/hFGfvYFwNuklHsXqg3aju61oyG087bAvHCo3M7zgX83H0cwUtm+7lj3NRjR4vOApLlsOT6UIWs7tB0t2HGHY50vADeYj1fbPiO20G3QdnSvHY3+tU2WEUJEgL8EwkKI7wIDmNVe0uhG9/vAMSHE86TRhQ0p5TeEEBdi6FR9QogXSCPv9WfaDm1Ht9iB0YzskBDiL4HXCiFeJqUck1JmF6oN2o7utaNptOOKgZG6tgujy9nbMCLJL8PQqa6yrfc7wE9sz18PzGJElP2oHtR2aDt8tQOjAjaNERf4JDCy0G3QdnSvHS19h7Z8KFwDvNn2/NPmTvhN4EFzWQhDw/oqsNH2vmu0HdqOLrXjXGCzeeJesVhs0HZ0rx0tfYe2fKiRpB+npEO9iVL7zIeB/2U+3oFZxaXt0HZ0uR1fXqw2aDu6145W/trSW0ZKOSelzMhSf4YXYzTfB6NRzoVCiG9jtDp9qB02aDu0HT7b8SA03xK4m23QdnSvHS2hnVcOzA59wPcolYqfBwxhVGuNBnEF03ZoO7rdjm6wQdvRvXY089furpBFjIT9k8A280r3p0BRSnmXlPJom7ev7dB2LBQ7usEGbUf32tE4ArjyXY2xg+4C3tqpq5i2Q9vR7XZ0gw3aju61o9G/tleoCiHWYfRb+ISUMtPWjWk7tB0L2I5usEHb0b12NIpA2g9oaGhoaASLrpzEpKGhoaHRGrRz19DQ0FiE0M5dQ0NDYxFCO3cNDQ2NRQjt3DU0NDQWIbRz11iSEEIUhBAPCyEeE0LsEkL8oRCi6vkghNgghHhjUDZqaLQC7dw1lirmpZTbpZQXY/QNeQXGdPpq2ABo566xIKDz3DWWJIQQM1LKPtvzTcADGLNazwX+DWOMGsA7pZR3CyHuxRhyfAi4Dfg7jAn3z8foIPgPUsp/CuxLaGhUgXbuGksSTuduLjuNMecyhdE7JC2M2a23Syl3CCGeD/wfKeWvmuvfjDE05P1CiDjwC+D1UspDQX4XDQ03tG3MnobGAoRq2RoFPiWE2I4xVu18j/VfgtFM6nXm80FgCwaz19DoKLRz19DAkmUKwAkM7X0CuAwjLpX2ehvG0IYfBGKkhkYD0AFVjSUPIcQI8BngU9LQKQeBcSllEaNhVNhcNQX02976A+B3hBBR83POF0L0oqHRBdDMXWOpIimEeBhDgsljBFA/Yb72aeDrQojXAz/BGMoNsBvICyF2AZ8H/hYjg+YhcwrPJPDqYMzX0KgOHVDV0NDQWITQsoyGhobGIoR27hoaGhqLENq5a2hoaCxCaOeuoaGhsQihnbuGhobGIoR27hoaGhqLENq5a2hoaCxC/P8qiyF3TWRoMAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "space.plot(y = \"Cost\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "space.plot(y = \"Cost\", colormap = \"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis', 'cividis_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'inferno', 'inferno_r', 'jet', 'jet_r', 'magma', 'magma_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r', 'seismic', 'seismic_r', 'spring', 'spring_r', 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b', 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', 'terrain_r', 'turbo', 'turbo_r', 'twilight', 'twilight_r', 'twilight_shifted', 'twilight_shifted_r', 'viridis', 'viridis_r', 'winter', 'winter_r']\n"
     ]
    }
   ],
   "source": [
    "print(plt.colormaps())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 14.3 Bar Graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASC            35\n",
       "SpaceX          25\n",
       "Roscosmos       12\n",
       "Arianespace     10\n",
       "Rocket Lab       9\n",
       "VKS RF           6\n",
       "ULA              6\n",
       "ISRO             5\n",
       "Northrop         5\n",
       "MHI              3\n",
       "JAXA             1\n",
       "ILS              1\n",
       "Virgin Orbit     1\n",
       "ExPace           1\n",
       "Name: Company Name, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "space[\"Company Name\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "space[\"Company Name\"].value_counts().plot(kind = \"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "space[\"Company Name\"].value_counts().plot(kind = \"barh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 14.4 Pie Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Success    114\n",
       "Failure      6\n",
       "Name: Status, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "space[\"Status\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Status'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "space[\"Status\"].value_counts().plot(kind = \"pie\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Status'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "space[\"Status\"].value_counts().plot(kind = \"pie\", legend = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 14.5 Summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
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}
